Authority Is Our Mission
Are you curious about data, AI and technology and passionate about what you do? Then read on: we are always looking for knowledge-hungry new team members!
You are passionate about helping organizations drive their success with Data & AI. You feel comfortable operating at the sweet spot between Leadership, Business, and Tech. And, after co-creating a vision and strategy on Data & AI, you’re not afraid to kick-start and drive the execution with a top-notch team that will turn your ideas into reality.
Your passion is data and analytics. You want to create value at our clients by uncovering, organizing, and making sense of data. You understand that it is important to build robust solutions. You feel comfortable to operate in the sweet spot between business and engineering.
You love to help organizations become successful with Data & AI. You have been a practitioner as analyst or scientist. You feel comfortable to approach stakeholders and help them to uncover the needs of their business. And you are not afraid to take ownership and make sure the right solution goes into production.
You are a engineer with a pragmatic attitude. You feel the weight of responsibility that comes with taking systems into production. You easily switch between scripting and structured programming in typed languages. You understand cloud, provisioning and automation. And you know how to build robust systems.
You are passionate about sharing your knowledge and helping others in their development and success stories and feel comfortable explaining difficult subjects on various levels and are adept at creating new learning and development offerings on Data & AI. You are fluent in Python and the most used data science libraries such as Pandas and scikit-learn. Clean code comes naturally to you and you understand why that is important for the next generation of data science products.
We are looking for senior data scientists who feel at home at the intersection between science, mathematics, machine learning, business, and coaching. You have experience in building value from data through ML and software.
You understand ML. You understand that scale is not trivial. You like to code. You are comfortable to be a bridge between data scientists and data engineers to build production-ready, scalable applications driven by data and AI.
Meet Our Experienced Team
Your Experience at GoDataDriven
While we primarily work on location for our customers, we are a very close team of professionals that work together on exciting challenges. We value team cohesion, knowledge and personal development, innovation, and fun. We strive for authority in everything that we do. At most companies you’ll see similar statements, but at GoDataDriven, we back this up with concrete benefits.
We have a monthly full-day hackathon on company time. You can choose to work on whatever and with whomever. Want to invite a friend from outside? No problem.
A real training budget of €5,000, without a fight. In fact, it’s your obligation to spend it every year.
All team meetings
Monthly all-team meetings that include dinner.
Conferences and speaking
Attending and speaking at relevant conferences doesn’t come out of your vacation time.
Have an idea for a meetup we should sponsor? Or want to start a new one? You’ve got it. Knowledge sharing is a core value for us.
In addition to internal knowledge sharing, GoDataDriven is also an active player in the local software development and Data Science communities. We’re active members of the Meetup community and regularly host, speak, attend, and organize Meetups and conferences.
GoDataDriven, as a Xebia Group company, operate on three distinct principles: Authority, Focus and Values. These principles guide every decision made by both management and staff. Authority means becoming the best in our field, individually and as a company. It’s an audacious goal that keeps us striving and fighting. We only hire people who have achieved authority, not for growth, open positions, size or value.
Meet your new colleagues
We sat down with a few of our data engineers to talk about their work. Topics discussed include work-life balance, writing intellectually challenging code, and giving back to the community.